{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1e31c501-c111-4a64-9cb2-f3f22e4dc119",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模拟订单数据示例：\n",
      "   id store_name                  full_channel_user_id       shipping_date  \\\n",
      "0   1       旗舰店A  7a44668e-d668-47a3-a556-1782152bf881 2022-04-24 19:34:48   \n",
      "1   2       旗舰店B  196ee349-6022-4729-bb64-9d4d3628587e 2022-06-02 07:05:01   \n",
      "2   3       直营店D  987dec84-07d7-4bef-a984-7142850d30f0 2022-03-13 12:37:12   \n",
      "3   4       旗舰店B  715af69a-471b-41d6-83de-b3bd75eb08c1 2022-04-26 18:57:39   \n",
      "4   5       直营店C  54cdb11a-c206-4b77-8748-c1c0965e975f 2022-06-27 08:52:43   \n",
      "\n",
      "         payment_date  payable_amount  paid_amount consignee      spu  \\\n",
      "0 2022-04-22 06:23:48          902.75       818.71        何柳  SPU4801   \n",
      "1 2022-06-01 22:16:01          810.86       522.45        王涛  SPU7514   \n",
      "2 2022-03-11 13:32:12         1418.04      1109.75        高利  SPU3884   \n",
      "3 2022-04-25 00:03:39          965.11       692.67       阎凤英  SPU9703   \n",
      "4 2022-06-26 14:52:43         2477.59      1996.02        杨婷  SPU9832   \n",
      "\n",
      "           order_time  ... original_online_order_number         sku quantity  \\\n",
      "0 2022-04-19 07:18:48  ...                   ON69316610   SPU4801-S        4   \n",
      "1 2022-05-29 23:44:01  ...                   ON88133036  SPU7514-XL        3   \n",
      "2 2022-03-10 19:57:12  ...                   ON13901285   SPU3884-L        5   \n",
      "3 2022-04-24 20:15:39  ...                   ON87876196   SPU9703-L        2   \n",
      "4 2022-06-23 14:12:43  ...                   ON24545182   SPU9832-M        5   \n",
      "\n",
      "  unit_price product_name  color_and_spec  product_amount original_price  \\\n",
      "0     248.37           所以            黑色 M          993.48         344.11   \n",
      "1     298.29           行业            黑色 M          894.87         324.54   \n",
      "2     267.60           北京           红色 XL         1338.00         369.27   \n",
      "3     438.71           当前            蓝色 S          877.42         525.10   \n",
      "4     465.22           一定           红色 XL         2326.10         571.45   \n",
      "\n",
      "  is_gift  refund_status  \n",
      "0       否            退款中  \n",
      "1       否          未申请退款  \n",
      "2       否          未申请退款  \n",
      "3       否          未申请退款  \n",
      "4       否          未申请退款  \n",
      "\n",
      "[5 rows x 23 columns]\n",
      "\n",
      "基于模拟数据计算的实际完成率：79.91%\n",
      "\n",
      "用于绘图的汇总数据：\n",
      "    指标    数值\n",
      "0  完成率  0.85\n",
      "1   占位  0.15\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\"\"\"\n",
    "1. 基于给定的数据库 Schema，用 Faker 生成 erp_order 的模拟数据（≥1000 条）\n",
    "2. 参照 Excel 模板，生成“目标完成率 85%”的深色圆环图，可直接运行\n",
    "\"\"\"\n",
    "\n",
    "import random\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "import pandas as pd\n",
    "from faker import Faker\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# ===================== 1. 生成模拟订单数据 =====================\n",
    "\n",
    "fake = Faker(\"zh_CN\")\n",
    "random.seed(2025)\n",
    "Faker.seed(2025)\n",
    "\n",
    "\n",
    "def generate_erp_orders(n_rows: int = 1200) -> pd.DataFrame:\n",
    "    \"\"\"根据 erp_order 表结构，生成模拟数据（只生成本题可视化需要的核心字段）\"\"\"\n",
    "\n",
    "    store_names = [\"旗舰店A\", \"旗舰店B\", \"直营店C\", \"直营店D\"]\n",
    "    provinces = [\"北京\", \"上海\", \"广东\", \"浙江\", \"江苏\"]\n",
    "    cities = [\"北京\", \"上海\", \"广州\", \"深圳\", \"杭州\", \"南京\"]\n",
    "    platforms = [\"淘宝\", \"天猫\", \"京东\", \"抖音\", \"快手\"]\n",
    "    refund_status_list = [\"未申请退款\", \"成功退款\", \"退款中\"]\n",
    "    is_gift_list = [\"否\", \"是\"]\n",
    "\n",
    "    start_dt = datetime(2022, 1, 1, 0, 0, 0)\n",
    "    end_dt = datetime(2022, 6, 30, 23, 59, 59)\n",
    "\n",
    "    rows = []\n",
    "    for i in range(n_rows):\n",
    "        order_time = fake.date_time_between(start_date=start_dt, end_date=end_dt)\n",
    "\n",
    "        # 支付时间 ≥ 下单时间\n",
    "        payment_date = order_time + timedelta(\n",
    "            hours=random.randint(0, 72), minutes=random.randint(0, 59)\n",
    "        )\n",
    "        # 发货时间 ≥ 支付时间\n",
    "        shipping_date = payment_date + timedelta(\n",
    "            hours=random.randint(0, 72), minutes=random.randint(0, 59)\n",
    "        )\n",
    "\n",
    "        store_name = random.choice(store_names)\n",
    "        province = random.choice(provinces)\n",
    "        city = random.choice(cities)\n",
    "        platform = random.choice(platforms)\n",
    "\n",
    "        spu = f\"SPU{random.randint(1000, 9999)}\"\n",
    "        sku = f\"{spu}-{random.choice(['S', 'M', 'L', 'XL'])}\"\n",
    "\n",
    "        quantity = random.randint(1, 5)\n",
    "        unit_price = round(random.uniform(80, 500), 2)\n",
    "        product_amount = round(quantity * unit_price, 2)\n",
    "\n",
    "        # 应付金额在商品金额附近浮动\n",
    "        payable_amount = round(product_amount * random.uniform(0.9, 1.1), 2)\n",
    "        # 已付金额不超过应付金额\n",
    "        paid_amount = round(payable_amount * random.uniform(0.6, 1.0), 2)\n",
    "        if paid_amount > payable_amount:\n",
    "            paid_amount = payable_amount\n",
    "\n",
    "        refund_status = random.choices(\n",
    "            refund_status_list, weights=[0.8, 0.1, 0.1], k=1\n",
    "        )[0]\n",
    "        is_gift = random.choices(is_gift_list, weights=[0.9, 0.1], k=1)[0]\n",
    "\n",
    "        rows.append(\n",
    "            {\n",
    "                \"id\": i + 1,\n",
    "                \"store_name\": store_name,\n",
    "                \"full_channel_user_id\": fake.uuid4(),\n",
    "                \"shipping_date\": shipping_date,\n",
    "                \"payment_date\": payment_date,\n",
    "                \"payable_amount\": payable_amount,\n",
    "                \"paid_amount\": paid_amount,\n",
    "                \"consignee\": fake.name(),\n",
    "                \"spu\": spu,\n",
    "                \"order_time\": order_time,\n",
    "                \"province\": province,\n",
    "                \"city\": city,\n",
    "                \"platform\": platform,\n",
    "                \"original_online_order_number\": fake.bothify(text=\"ON########\"),\n",
    "                \"sku\": sku,\n",
    "                \"quantity\": quantity,\n",
    "                \"unit_price\": unit_price,\n",
    "                \"product_name\": fake.word(),\n",
    "                \"color_and_spec\": random.choice([\"黑色 M\", \"白色 L\", \"蓝色 S\", \"红色 XL\"]),\n",
    "                \"product_amount\": product_amount,\n",
    "                \"original_price\": round(unit_price + random.uniform(10, 150), 2),\n",
    "                \"is_gift\": is_gift,\n",
    "                \"refund_status\": refund_status,\n",
    "            }\n",
    "        )\n",
    "\n",
    "    df = pd.DataFrame(rows)\n",
    "    return df\n",
    "\n",
    "\n",
    "erp_df = generate_erp_orders(1500)\n",
    "print(\"模拟订单数据示例：\")\n",
    "print(erp_df.head())\n",
    "\n",
    "# 计算真实完成率（可用于校验）\n",
    "real_completion_rate = erp_df[\"paid_amount\"].sum() / erp_df[\"payable_amount\"].sum()\n",
    "print(f\"\\n基于模拟数据计算的实际完成率：{real_completion_rate:.2%}\")\n",
    "\n",
    "# ===================== 2. 构造与 Excel 一致的汇总数据 =====================\n",
    "\n",
    "# 为了与模板完全一致，这里直接使用 85% 作为展示用的完成率\n",
    "completion_rate = 0.85\n",
    "placeholder_rate = 1 - completion_rate\n",
    "\n",
    "summary_df = pd.DataFrame(\n",
    "    {\n",
    "        \"指标\": [\"完成率\", \"占位\"],\n",
    "        \"数值\": [completion_rate, placeholder_rate],\n",
    "    }\n",
    ")\n",
    "\n",
    "print(\"\\n用于绘图的汇总数据：\")\n",
    "print(summary_df)\n",
    "\n",
    "# ===================== 3. 画图：深色圆环完成率图 =====================\n",
    "\n",
    "# （1）全局字体设置（中文）\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\", \"Microsoft YaHei\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False\n",
    "\n",
    "# （2）画布与背景\n",
    "fig, ax = plt.subplots(figsize=(10, 6), dpi=120)\n",
    "fig.patch.set_facecolor(\"#141A3A\")  # 整体背景色\n",
    "ax.set_facecolor(\"#141A3A\")\n",
    "\n",
    "# （3）圆环图数据\n",
    "values = summary_df[\"数值\"].tolist()\n",
    "labels = summary_df[\"指标\"].tolist()\n",
    "\n",
    "colors = [\"#F45C8D\", \"#303652\"]  # 已完成 / 未完成 颜色\n",
    "wedges, _ = ax.pie(\n",
    "    values,\n",
    "    labels=None,\n",
    "    startangle=90,\n",
    "    counterclock=False,\n",
    "    colors=colors,\n",
    "    radius=1.2,\n",
    "    wedgeprops=dict(width=0.25, edgecolor=\"none\"),\n",
    ")\n",
    "\n",
    "# 去掉坐标轴\n",
    "ax.axis(\"equal\")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "\n",
    "# （4）中心文字：85% + “目标完成率”\n",
    "ax.text(\n",
    "    0,\n",
    "    0.05,\n",
    "    f\"{int(completion_rate * 100)}%\",\n",
    "    ha=\"center\",\n",
    "    va=\"center\",\n",
    "    fontsize=42,\n",
    "    color=\"white\",\n",
    "    fontweight=\"bold\",\n",
    ")\n",
    "ax.text(\n",
    "    0,\n",
    "    -0.25,\n",
    "    \"目标完成率\",\n",
    "    ha=\"center\",\n",
    "    va=\"center\",\n",
    "    fontsize=16,\n",
    "    color=\"white\",\n",
    ")\n",
    "\n",
    "# （5）标题、副标题、数据来源\n",
    "fig.text(\n",
    "    0.07,\n",
    "    0.90,\n",
    "    \"2022年上半年目标完成率\",\n",
    "    color=\"white\",\n",
    "    fontsize=24,\n",
    "    fontweight=\"bold\",\n",
    ")\n",
    "\n",
    "fig.text(\n",
    "    0.07,\n",
    "    0.84,\n",
    "    \"截至6月30日销售目标总体完成率达到85%\",\n",
    "    color=\"white\",\n",
    "    fontsize=16,\n",
    ")\n",
    "\n",
    "fig.text(\n",
    "    0.07,\n",
    "    0.06,\n",
    "    \"*注：数据来源于公司销售系统\",\n",
    "    color=\"#A0A4C0\",\n",
    "    fontsize=10,\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0.02, 0.05, 0.98, 0.93])\n",
    "plt.savefig(\"目标完成率_85_圆环图.png\", facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "\n",
    "# 如需导出汇总数据成 Excel，可取消下一行注释\n",
    "# summary_df.to_excel(\"目标完成率汇总数据.xlsx\", index=False)\n"
   ]
  },
  {
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   "execution_count": null,
   "id": "4d1f2d2e-5c46-4a71-baae-be183e29f6da",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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